Integration of Digital Stabilizer with Video Codec in Digital Video Cameras

In this paper, we propose a scheme for integrating a digital stabilizer with the video codec of a digital video camera. By clustering motion vectors generated by the video encoder and constraining global motion estimation to a small background region, we achieve computational efficiency without compromising video coding quality or digital stabilization performance. The algorithm implementation involves motion vector clustering techniques to identify stable background areas, enabling restricted global motion estimation scope. Furthermore, we introduce a novel technical enhancement incorporating an intermediate layer between the digital stabilizer and video encoder. This architectural modification improves motion estimation range control and enhances video encoding effectiveness through optimized data flow management. The integration scheme not only boosts computational efficiency but also preserves the performance characteristics of both video encoding and digital stabilization processes. In summary, our research presents an integrated framework combining digital stabilization and video codec functionalities. Through motion vector clustering and constrained global motion estimation, we balance computational efficiency with video encoding performance. The additional intermediate layer further refines the system's capabilities, making this solution applicable to digital video cameras for improved recording quality and stabilization outcomes. Key implementation aspects include real-time motion vector processing algorithms and background region segmentation methods for efficient hardware/software deployment.